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EMNLP
2011
14 years 4 months ago
Lexical Generalization in CCG Grammar Induction for Semantic Parsing
We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Tradi...
Tom Kwiatkowski, Luke S. Zettlemoyer, Sharon Goldw...
CVPR
2009
IEEE
16 years 11 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
15 years 11 months ago
Imitation learning with generalized task descriptions
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Clemens Eppner, Jürgen Sturm, Maren Bennewitz...
ICML
2009
IEEE
16 years 5 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
SEMWEB
2004
Springer
15 years 9 months ago
Inferring Data Transformation Rules to Integrate Semantic Web Services
Abstract. OWL-S allows selecting, composing and invoking Web Serdifferent levels of abstraction: selection uses high level abstract descriptions, invocation uses low level groundi...
Bruce Spencer, Sandy Liu